Package: rtemis.ml 0.1.0

rtemis.ml: Performance Metrics for Classification

Computes the area under the receiver operating characteristic curve (AUC) and the average precision of binary classifiers, and their one-vs-rest values for each class of a multiclass outcome. The AUC is the Mann-Whitney U statistic divided by the number of positive-negative pairs (Hanley and McNeil (1982) <doi:10.1148/radiology.143.1.7063747>), and the average precision is the area under the stepwise precision-recall curve. The computations are implemented in the 'rtemis' 'Rust' crate, which sorts the scores once per problem and reads the inputs without copying them.

Authors:E.D. Gennatas [aut, cre, cph], Authors of the bundled Rust crates [ctb, cph]